The value chain of Industrial IoT and its reference framework for digitalization

09/28/2020 ∙ by Hang Song, et al. ∙ 0

Nowadays, we are rapidly moving beyond bespoke detailed solutions tailored for very specific problems, and we already build upon reusable and more general purpose infrastructures and tools, referring to them as IoT, Industrial IoT/Industry 4.0[1-3], etc. These are what will be discussed in this paper. When Industrial IoT (IIoT) is concerned about, the enormous innovation potential of IoT technologies are not only in the production of physical devices, but also in all activities performed by manufacturing industries, both in the pre-production (ideation, design, prototyping) and in the post-production (sales, training, maintenance, recycling) phases . It is also known that IIoT acquire and analyze data from connected devices, Cyber-Physical Systems (CPS), locations and people (e.g. operator); along with its contemporary new terms, such as 5G, Edge computing, and other ICT technologies with their applications[4] . More or less it is drawn upon on its combination with relative monitoring devices and actuators from operational technology (OT). IIoT helps regulate and monitor industrial systems [2], and it integrates/re-organize production resources flexibly, enhanced OT capability in the smart value chains enabling distributed decision-making of production.



There are no comments yet.


page 2

page 3

page 4

page 9

page 10

page 12

page 13

page 14

This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.